CN112137601A - Signal processing method, signal processing device, vehicle and storage medium - Google Patents
Signal processing method, signal processing device, vehicle and storage medium Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The invention discloses a signal processing method, a signal processing device, a vehicle and a storage medium, which are applied to the vehicle, wherein the vehicle comprises: safety belt, signal processing equipment, first triaxial acceleration sensor, wherein, signal processing equipment includes: the signal processing device is arranged at the chest position of a user when the user wears the safety belt, the first triaxial acceleration sensor is arranged in the vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, and the first triaxial acceleration sensor is connected with the signal processing device through a wire harness; the signal processing apparatus is for performing a signal processing method, the method including: when a user wears a safety belt, user information is collected; the heart rate and the breathing rate are determined from the physiological signals of the user. The embodiment of the invention is used for obtaining high-quality heart rate and respiratory rate for use.
Description
Technical Field
The embodiment of the invention relates to the technical field of automobiles, in particular to a signal processing method, a signal processing device, a vehicle and a storage medium.
Background
As the automobile becomes a daily tool for people to ride instead of walk, the use rate of the automobile with high frequency enables the user to be in the automobile for longer and longer time. The driving of the car requires high concentration and good physical condition to ensure driving safety. Busy life makes more and more people be in sub-health state, need pay close attention to a plurality of physiological parameters of health in real time and carry out the disease prevention, but current physiological signal collection system mostly all carries out physiological signal through wearing or the mode of short time contact and gathers because characteristics such as considering comfort level and convenient to carry for contact is incomplete or contact time is short excessively in the acquisition process and leads to the physiological signal stability and the accuracy of gathering poor.
Disclosure of Invention
The invention provides a vehicle-mounted monitoring method, a vehicle-mounted monitoring device, a vehicle and a storage medium, which are used for acquiring and processing physiological signals of a user by means of a safety belt, a first triaxial acceleration sensor and signal processing equipment and obtaining high-quality heart rate and respiratory rate for use.
In a first aspect, an embodiment of the present invention provides a signal processing method, which is applied to a vehicle, where the vehicle includes: safety belt, signal processing equipment, first triaxial acceleration sensor, wherein, the signal processing equipment includes: the safety belt comprises a first triaxial acceleration sensor, a second triaxial acceleration sensor, a signal processing device and a signal processing device, wherein the signal processing device is arranged on the safety belt, when a user wears the safety belt, the signal processing device is positioned at the chest position of the user, the first triaxial acceleration sensor is arranged in a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and the signal processing device is used for executing a signal processing method, and the method comprises the following steps:
when a user wears the safety belt, user information is collected, wherein the user information comprises: physiological signals and location signals; and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
Further, the method further comprises:
acquiring a location signal of the user, wherein the location signal comprises: acceleration values in three directions; if the acceleration value in any direction is larger than or equal to the acceleration threshold value, determining that the user is in a non-static state; and if the acceleration values in the three directions are all smaller than the acceleration threshold value, determining that the user is in a static state.
Further, determining the heart rate and the breathing rate of the user according to the physiological signal of the user and the position signal of the user comprises: and if the user is in a static state, determining the heart rate and the respiratory rate of the user according to the physiological signals of the user.
Further, determining the heart rate and the respiratory rate of the user from the physiological signal of the user and the location signal of the user comprises: when a user wears the safety belt, receiving environmental noise collected by the first triaxial acceleration sensor; if the user is determined to be in a static state according to the position signal of the user, filtering the physiological signal according to the environmental noise to obtain a target physiological signal; and performing band-pass filtering on the target physiological signal to obtain the heart rate and the respiratory rate.
Further, the band-pass filtering the target physiological signal to obtain the heart rate and the respiratory rate includes: performing band-pass filtering on the target physiological signal to obtain a heartbeat signal and a respiration signal; determining a heart rate according to the heartbeat signal; the breathing frequency is determined from the breathing signal.
Further, determining the heart rate from the heartbeat signal includes: analyzing and fusing the heartbeat signals through principal components to obtain target heartbeat signals; performing Hilbert-Huang transform after taking an absolute value of the target heartbeat signal; and (3) carrying out low-pass filtering on the target heartbeat signal subjected to Hilbert-Huang transformation to obtain the heart rate within the preset time.
Further, determining a respiratory rate from the respiratory signal includes: analyzing and fusing the respiratory signals through principal components to obtain target respiratory signals; and determining the respiratory frequency within the preset time according to the target respiratory signal.
In a second aspect, an embodiment of the present invention further provides a signal processing apparatus, where the apparatus includes:
the collecting module is used for collecting user information when a user wears the safety belt, wherein the user information comprises: physiological signals and location signals;
and the frequency determination module is used for determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
Further, the acquisition module is specifically configured to: acquiring a location signal of the user, wherein the location signal comprises: acceleration values in three directions; if the acceleration value in any direction is larger than or equal to the acceleration threshold value, determining that the user is in a non-static state; and if the acceleration values in the three directions are all smaller than the acceleration threshold value, determining that the user is in a static state.
Further, the frequency determination module is specifically configured to:
and if the user is in a static state, determining the heart rate and the respiratory rate of the user according to the physiological signals of the user.
Further, the frequency determination module is specifically configured to:
when a user wears the safety belt, receiving environmental noise collected by the first triaxial acceleration sensor; if the user is determined to be in a static state according to the position signal of the user, filtering the physiological signal according to the environmental noise to obtain a target physiological signal;
and performing band-pass filtering on the target physiological signal to obtain the heart rate and the respiratory rate.
Further, the frequency determination module is specifically configured to:
performing band-pass filtering on the target physiological signal to obtain a heartbeat signal and a respiration signal;
determining a heart rate according to the heartbeat signal;
the breathing frequency is determined from the breathing signal.
Further, the frequency determination module is specifically configured to:
analyzing and fusing the heartbeat signals through principal components to obtain target heartbeat signals;
performing Hilbert-Huang transform after taking an absolute value of the target heartbeat signal;
and (3) carrying out low-pass filtering on the target heartbeat signal subjected to Hilbert-Huang transformation to obtain the heart rate within the preset time.
Further, the frequency determination module is specifically configured to:
analyzing and fusing the respiratory signals through principal components to obtain target respiratory signals;
and determining the respiratory frequency within the preset time according to the target respiratory signal.
In a third aspect, an embodiment of the present invention further provides a vehicle, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the signal processing method as described.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the signal processing method as described above.
According to the invention, through a safety belt, a signal processing device and a first triaxial acceleration sensor in the vehicle, user information of a user wearing the safety belt is acquired; the signal processing apparatus includes: the signal processing device is arranged on a safety belt, when a user wears the safety belt, the signal processing device is positioned in the chest position of the user, the first triaxial acceleration sensor is arranged in a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and when the user wears the safety belt, user information is acquired; the user information includes: physiological signals and location signals; and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user. The problems that the acquired physiological signals are unstable and poor in accuracy due to incomplete contact or too short contact time in the acquisition process of the conventional physiological signal acquisition device are solved, the situation that the sensor is not in complete contact with a user is reduced, and the limitation that the sensor is perpendicular to the body is solved by adopting a three-axis acceleration sensor to acquire the user signals; and self-adaptive filtering is carried out by means of the first triaxial acceleration sensor, the problem that the physiological signals can be submerged by noise generated by a complex environment when the vehicle moves is solved, and the technical effect of extracting high-quality heart rate and respiratory rate is achieved.
Drawings
Fig. 1 is a flow chart of a signal processing method according to an embodiment of the present invention;
FIG. 1a is a schematic structural diagram of a vehicle according to one embodiment of the present invention;
FIG. 1b is a schematic diagram of a signal processing method according to an embodiment of the present invention;
FIG. 1c is a block diagram of a signal processing apparatus according to an embodiment of the present invention;
FIG. 2 is a block diagram of a signal processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a vehicle according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a signal processing method according to an embodiment of the present invention, where the embodiment is applicable to a situation where a vehicle user needs to perform physiological signal acquisition, and the method may be applied to a vehicle, where the vehicle includes: safety belt, signal processing equipment, first triaxial acceleration sensor, wherein, the signal processing equipment includes: the safety belt comprises a first triaxial acceleration sensor, a second triaxial acceleration sensor, a signal processing device and a signal processing device, wherein the signal processing device is arranged on the safety belt, when a user wears the safety belt, the signal processing device is located at the chest position of the user, the first triaxial acceleration sensor is arranged inside a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and the signal processing device is used for executing a signal processing method and specifically comprises the following steps:
step S110, when the user wears the safety belt, user information is collected, wherein the user information comprises: physiological signals and location signals;
in an embodiment of the present invention, the signal processing apparatus includes: the signal processing equipment is arranged on the safety belt, and when a user wears the safety belt, the signal processing equipment is located at the position in front of the chest of the user, namely the second triaxial acceleration sensor can be considered to be located at the position in front of the chest of the user and used for acquiring user information, so that high-quality physiological signals of the user can be acquired conveniently.
Fig. 1a is a schematic structural diagram of a vehicle according to an embodiment of the present invention, and as shown in fig. 1a, the vehicle may include: the device comprises a signal processing device 1, a first triaxial acceleration sensor 2, a wire harness 3, a safety belt belly belt 4 and a safety belt shoulder belt 5. The signal processing device 1 comprises a second triaxial acceleration sensor for collecting user information. The first triaxial acceleration sensor 2 is configured to collect environmental noise inside the vehicle, and transmit the collected environmental noise inside the vehicle to the signal processing device 1 through the wire harness 3. The harness shoulder straps 5 together with the wiring harness 3 ensure that the signal processing device 1 is placed in front of the chest of the user when the user wears the harness. The wire harness 3 can be a wire harness with adjustable length, the length of the wire harness is adjusted to ensure that the wire harness 3 is connected with the signal processing device 1 when the signal processing device 1 is always positioned in front of the chest of a user, the part, exceeding the signal processing device 1 and positioned at the position where the safety belt shoulder straps 5 overlap, of the wire harness 3 can be fixed on or in the safety belt shoulder straps 5, for example, the part, exceeding the signal processing device 1 and positioned at the safety belt shoulder straps 5, of the wire harness 3 is woven into the safety belt shoulder straps 5; the portion of the wire harness 3 other than the shoulder belt 5 may be routed inside the vehicle. The material and design of the safety belt and shoulder belt 5 can be a material and design with stronger plasticity, and the signal processing device in front of the chest of the user can be deeply contacted with the chest of the user in the using process.
In the embodiment of the invention, the signal processing equipment based on the safety belt type in the vehicle is placed in front of the chest of a user to acquire the user information, so that the user acquires the user information in the vehicle using process, and the condition that the sensor is not completely contacted with the user or the contact time is short in the user information acquisition process is reduced.
In the embodiment of the invention, the in-vehicle user has the autonomous awareness, so the uncertainty of the state of the body of the in-vehicle user relative to the safety belt type signal processing equipment, namely the motion track and the direction of the body of the in-vehicle user are not judged in advance. Therefore, the three-axis acceleration sensor can be used for acquiring the acceleration components of the chest of the user on three coordinate axes, is suitable for scenes without pre-judging the movement track and direction, acquires the measurement space acceleration signals of the three-axis acceleration sensor, and can comprehensively and accurately acquire the physiological signals and the position signals of the user in the vehicle.
In the embodiment of the invention, the collected user information comprises physiological signals and position signals; the physiological signal can be a heartbeat signal, a respiration signal; acquiring a location signal of the user, the location signal comprising: acceleration values in three directions.
In the embodiment of the invention, the heartbeat signal acquisition of the physiological signal of the user can be that the acceleration of the heartbeat process of the user in the vertical, horizontal and front-back coordinate axis directions can be changed periodically. In the action of the user's systole, the vertical acceleration tends to decrease due to the over-pressure in the chest during the user's systole, and then the vertical acceleration tends to increase due to the over-pressure in the chest during the user's diastole. The chest of the user expands during diastole, the acceleration in the horizontal direction tends to increase, and then the chest of the user compresses during contraction, and the acceleration in the horizontal direction tends to decrease. The chest of the user expands in the diastole process, the acceleration in the front-back direction tends to increase, and then the chest of the user compresses in the systole process, and the acceleration in the front-back direction tends to decrease.
In the embodiment of the invention, the acquisition of the breathing signal of the physiological signal of the user can be that the vertical acceleration, the horizontal acceleration, the front acceleration and the back acceleration of the user are periodically changed in the breathing process. In the breathing action, the vertical acceleration tends to increase as the center of gravity of the chest of the user is upward during inhalation, and then the vertical acceleration tends to decrease as the center of gravity of the chest of the user is downward during exhalation. The chest of the user expands during inspiration, the acceleration in the horizontal direction tends to increase, and then the chest of the user compresses during exhalation, and the acceleration in the horizontal direction tends to decrease. The user's chest expands during inspiration, with the acceleration in the forward-backward direction tending to increase, and then the user's chest compresses during exhalation, with the acceleration in the forward-backward direction tending to decrease.
In the embodiment of the invention, the physiological signal of the user and the position signal of the user are acquired simultaneously, so that the respiratory signal and the heartbeat signal of the user in the vehicle exist all the time, and when the body position of the user in the vehicle is not changed, namely the change of the position signal can be ignored, the physiological signal of the user cannot be interfered; when the body position of the user in the vehicle changes, the position signal changes obviously and the physiological signal is collected by the second triaxial acceleration sensor at the same time. In order to obtain high-quality heartbeat signals and respiratory signals, the body position of the user needs to be determined to be in a motion state relative to the safety belt type signal processing equipment according to the collected user information.
Step S120, determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
In the embodiment of the invention, the second triaxial acceleration sensor in the signal processing equipment acquires the physiological signal of the user and the position signal of the user. And judging the quality of the acquired physiological signals of the user according to the acquired position signals of the user. If the quality of the acquired physiological signals of the user is poor according to the position signals of the user, the physiological signals of the user do not need to be further processed, and new position signals of the user and new physiological signals of the user are continuously acquired from the second triaxial acceleration sensor. And if the position signal of the user judges that the acquired physiological signal of the user has good quality, filtering and separating the heartbeat signal and the respiratory signal in the physiological signal of the user. According to the separated waveforms of the heartbeat signal and the respiration signal of the user, the positions of two adjacent wave crests are positioned to determine one breath or one hop, and the heart rate and the respiration rate of the user are determined by calculating the heartbeat frequency and the respiration frequency within the preset time.
Further, the signal processing method further includes: acquiring a location signal of the user, wherein the location signal comprises: acceleration values in three directions; if the acceleration value in any direction is larger than or equal to the acceleration threshold value, determining that the user is in a non-static state; and if the acceleration values in the three directions are all smaller than the acceleration threshold value, determining that the user is in a static state.
In the embodiment of the invention, whether the acceleration values on three coordinate axes acquired by the second triaxial acceleration sensor exceed the acceleration threshold value is judged according to the position signal in the acquired user information. The heartbeat signal and the breathing signal in the physiological signal in the acquired user information are the floating and regular frequency change of the chest position of the user, the change of the second triaxial acceleration sensor in the three coordinate axis directions is limited, and if the body position of the user changes, the acceleration threshold value in each direction can be exceeded. Therefore, whether the body position of the user is in a static state relative to the safety belt type signal processing equipment is judged according to the acceleration threshold value, and the quality of the collected physiological signals of the user is judged to be good or bad for analysis processing.
In the embodiment of the invention, the acceleration threshold value to be compared with the acceleration values acquired by the second triaxial acceleration sensor on the three coordinate axes can be the maximum value and the minimum value of the acceleration values acquired by the triaxial acceleration sensor or the acceleration threshold value calibrated by methods such as tests or index simulation according to the normal breathing process and heartbeat process of a human body.
Further, determining the heart rate and the breathing rate of the user according to the physiological signal of the user and the position signal of the user comprises:
and if the user is in a static state, determining the heart rate and the respiratory rate of the user according to the physiological signals of the user.
In the embodiment of the invention, the body of the user and the safety belt type signal processing equipment are in a static state, the position signal in the user information is collected to be negligible, and when the physiological signal in the user information has good quality, the physiological signal in the user information needs to be further analyzed to obtain the heart rate and the respiratory rate corresponding to the user information.
Further, determining the heart rate and the respiratory rate of the user from the physiological signal of the user and the location signal of the user comprises:
when a user wears the safety belt, receiving environmental noise collected by the first triaxial acceleration sensor; if the user is determined to be in a static state according to the position signal of the user, filtering the physiological signal according to the environmental noise to obtain a target physiological signal; and performing band-pass filtering on the target physiological signal to obtain the heart rate and the respiratory rate.
In the embodiment of the invention, when a user wears the safety belt, the second triaxial acceleration sensor in the signal processing equipment acquires user information, and meanwhile, the first triaxial acceleration sensor arranged in the vehicle acquires an environmental noise signal in the vehicle. And transmitting the environmental noise signal in the vehicle collected by the first triaxial acceleration sensor back to the signal processing equipment by a wire harness, and taking the environmental noise signal as a reference for the second triaxial acceleration sensor to collect the user information adaptive filtering. If the user is in a static state, after the environmental noise signals collected at the same time are synchronized in a time sequence, the environmental noise signals collected by the first triaxial acceleration sensor in the vehicle are used as a reference to carry out self-adaptive filtering, and the heartbeat signals and the respiration signals without the environmental noise signals are obtained.
Further, the band-pass filtering the target physiological signal to obtain the heart rate and the respiratory rate includes:
performing band-pass filtering on the target physiological signal to obtain a heartbeat signal and a respiration signal; determining a heart rate according to the heartbeat signal; the breathing frequency is determined from the breathing signal.
In the embodiment of the invention, the heartbeat signal and the respiration signal without the environmental noise signal are obtained through self-adaptive filtering, so as to obtain the heart rate corresponding to the heartbeat signal and the respiration frequency corresponding to the respiration signal. The heartbeat signal and the respiration signal need to be separated for targeted processing. According to the different band-pass of the frequency band of the heartbeat signal and the respiratory signal, the filtering is required to be carried out according to the band-pass corresponding to the frequency band. For example, considering that the normal respiratory frequency of a human body is 16-20 times/min, the respiratory signal is subjected to 0.1-0.5HZ band-pass filtering; considering the normal heart rate of the human body as 60-100 times/min and harmonic waves, the heartbeat signal is subjected to 0.5-15HZ band-pass filtering. And respectively obtaining heartbeat signals and respiration signals after band-pass filtering.
Further, determining the heart rate from the heartbeat signal includes: analyzing and fusing the heartbeat signals through principal components to obtain target heartbeat signals; performing Hilbert-Huang transform after taking an absolute value of the target heartbeat signal; and (3) carrying out low-pass filtering on the target heartbeat signal subjected to Hilbert-Huang transformation to obtain the heart rate within the preset time.
In the embodiment of the invention, a three-axis acceleration sensor is adopted to collect physiological signals of a user to obtain acceleration signals in three coordinate axis directions, so that the three separated heartbeat signals need to be analyzed and fused by main components to obtain the optimal heartbeat signal, namely the target heartbeat signal. Taking the absolute value of the target heartbeat signal normalizes the target signal so as to carry out Hilbert-Huang transform to obtain an envelope signal, and the waveform of the envelope signal is similar to the shape of a sine wave waveform. And removing harmonic waves in the envelope signal by low-pass filtering the envelope signal wave after Hilbert-Huang transformation. Typically, the heartbeat signal is filtered using a 3HZ low pass filter to remove harmonics. And positioning the peak position in the waveform of the envelope signal after removing the harmonics, representing one heartbeat by the heartbeat interval of two adjacent peak positions, and calculating the heartbeat frequency of the user within the preset time. Typically, the preset time is 1 minute, i.e. the number of heart beats within 1 minute is the heart rate of the user.
Further, determining a respiratory rate from the respiratory signal includes: analyzing and fusing the respiratory signals through principal components to obtain target respiratory signals; and determining the respiratory frequency within the preset time according to the target respiratory signal.
In the embodiment of the invention, a three-axis acceleration sensor is adopted to collect physiological signals of a user to obtain acceleration signals in three coordinate axis directions, so that the three separated respiratory signals need to be subjected to principal component analysis and fusion to obtain the optimal respiratory signal, namely the target respiratory signal. And positioning the peak position in the target respiration signal, representing one respiration by the respiration interval of two adjacent peak positions, and calculating the respiratory frequency of the user within the preset time. Typically, the preset time is 1 minute, i.e. the number of breaths in 1 minute is the user's breathing rate.
For example, fig. 1b is a schematic diagram of a signal processing method according to an embodiment of the present invention, and as shown in fig. 1b, a processing procedure of the signal processing method is as follows:
acquiring acceleration values in three directions in a position signal of a user according to a second triaxial acceleration sensor, judging whether the acceleration values in the three directions are larger than or equal to acceleration thresholds in all directions, if the acceleration value in one direction is larger than or equal to the acceleration threshold in the direction, enabling the user and the information processing equipment to be in a non-static state when user information is acquired, and enabling the acquired user information not to be processed; and if the acceleration values in the three directions are smaller than the acceleration threshold values in all directions, the user and the information processing equipment are in a static state when the user information is collected, and the physiological signals of the user are processed. And taking the environmental noise signal in the vehicle collected by the first triaxial acceleration sensor as a reference signal to carry out self-adaptive filtering to obtain the user physiological signal after noise elimination. And separating the heartbeat signal and the respiration signal of the user through the band-pass filtering of the denoised physiological signal of the user. Analyzing and fusing three heartbeat signals corresponding to the three axes of the separated user through principal components to obtain a target heartbeat signal; taking an absolute value of a target heartbeat signal, performing Hilbert-Huang transform to obtain a signal of an envelope waveform, and calculating the heartbeat frequency within a preset time, namely the heart rate, for one heartbeat by using a position interval meter of two adjacent wave peaks after low-pass filtering and de-tuning; and analyzing and fusing three respiratory signals corresponding to the three axes of the separated user by principal components to obtain a target respiratory signal, and calculating the respiratory frequency within a preset time by taking the position of two adjacent wave peaks as a respiratory time.
In the embodiment of the invention, the second triaxial acceleration sensor acquires user information and an environmental noise signal of the first acceleration sensor, and before the adjustable wire harness is transmitted back to the signal processing equipment, the user information acquired by the first triaxial acceleration sensor and the environmental noise signal acquired by the second triaxial acceleration sensor need to be synchronized in time sequence by means of the synchronous AD acquisition module, so that the time sequences of the signals acquired by the two acceleration sensors are completely consistent. If the acceleration value in one direction is larger than or equal to the acceleration threshold value in the direction, the user and the information processing equipment are in a non-static state when the user information is acquired, the acquired user information quality is poor, the next filtering processing is not needed, and the acquired user information cannot be used for acquiring the heart rate and respiratory frequency signals of the user.
Fig. 1c is a structural diagram of a signal processing device according to a first embodiment of the present invention, and as shown in fig. 1c, the signal processing device includes a second triaxial acceleration sensor, a synchronous AD acquisition module, a data signal processing chip, a bluetooth module, a data storage module, and a power management module. The signal processing equipment comprises a second triaxial acceleration sensor and is used for acquiring user information; the synchronous AD acquisition module is used for synchronizing the signals acquired by the first triaxial acceleration sensor and the second triaxial acceleration sensor in time sequence; the data signal processing chip is used for extracting the heart rate and the respiratory rate in the user information; the Bluetooth module is used for establishing communication with other equipment to carry out data transmission; the data storage module is used for storing the collected original user information, the heartbeat signal and the respiratory signal of the user after signal processing, and the heart rate and the respiratory frequency; and the power supply management module is used for displaying the current electric quantity of the signal processing equipment according to the electric quantity indicator lamp.
In the embodiment of the invention, signals with completely consistent time sequences are transmitted to a digital signal chip after being synchronized by a synchronous AD module acquisition module, and a digital signal processing chip (DSP) is selected because a signal processing algorithm and a processing calculation amount need to be considered and the calculation capacity of a common single chip microcomputer is insufficient. The data signal processing chip comprises: adaptive filtering, three-axis sensor data fusion and extraction methods of heart rate and respiratory rate. The heart rate and the respiratory rate of a user are acquired after being processed by the digital signal processing chip, and are stored by the data storage module, and then the stored data are called by the upper computer to be displayed, for example, the waveform of the stored data signal is played and the frequency value is displayed at the same time; or be connected with car machine or display device through bluetooth module, can show heartbeat signal and respiratory signal and correspond heart rate and respiratory frequency who draws in real time. The power management module is selected based on the data signal processing chip and can provide power for a power supply or an analog load directly attached to the printed circuit board. The power management module can remind the user to replace the battery or charge.
In the embodiment of the invention, the power management module can monitor the power utilization condition of the signal processing equipment and prompt by using the indicator lamp. When the user normally uses the signal processing device, the indicator light is displayed as green if the electric quantity provided for the signal processing device is sufficient; if the power supplied to the signal processing device is weak or the signal processing device cannot be normally used immediately, the indicator light is displayed in red, and the battery needs to be replaced or charged immediately. The charging mode of the battery can be various charging modes through a wire harness, and the battery can be detached for charging without connection. When the signal processing equipment is charged through the wire harness, the indicator light can be continuously and normally used to display red and green mixed color, and the indicator light core for normally using the signal processing equipment can also be stopped in a charging mode to display red and yellow mixed color.
According to the invention, through a safety belt, a signal processing device and a first triaxial acceleration sensor in the vehicle, user information of a user wearing the safety belt is acquired; the signal processing apparatus includes: the signal processing device is arranged on a safety belt, when a user wears the safety belt, the signal processing device is positioned in the chest position of the user, the first triaxial acceleration sensor is arranged in a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and when the user wears the safety belt, user information is acquired; the user information includes: physiological signals and location signals; and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user. The problems that the acquired physiological signals are unstable and poor in accuracy due to incomplete contact or too short contact time in the acquisition process of the conventional physiological signal acquisition device are solved, the situation that the sensor is not in complete contact with a user is reduced, and the limitation that the sensor is perpendicular to the body is solved by adopting a three-axis acceleration sensor to acquire the user signals; and self-adaptive filtering is carried out by means of the first triaxial acceleration sensor, the problem that the physiological signals can be submerged by noise generated by a complex environment when the vehicle moves is solved, and the technical effects of obtaining high-quality heart rate and respiratory rate are achieved.
Example two
Fig. 2 is a structural diagram of a signal processing apparatus according to a second embodiment of the present invention, and the embodiment of the present invention further provides a signal processing apparatus, including:
an acquiring module 21, configured to acquire user information when a user wears the seat belt, where the user information includes: physiological signals and location signals;
a frequency determination module 22 for determining the heart rate and the breathing rate of the user from the physiological signal of the user and the position signal of the user.
Further, the acquisition module is specifically configured to: acquiring a location signal of the user, wherein the location signal comprises: acceleration values in three directions; if the acceleration value in any direction is larger than or equal to the acceleration threshold value, determining that the user is in a non-static state; and if the acceleration values in the three directions are all smaller than the acceleration threshold value, determining that the user is in a static state.
Further, the frequency determination module 22 is specifically configured to:
and if the user is in a static state, determining the heart rate and the respiratory rate of the user according to the physiological signals of the user.
Further, the frequency determination module 22 is specifically configured to:
when a user wears the safety belt, receiving environmental noise collected by the first triaxial acceleration sensor; if the user is determined to be in a static state according to the position signal of the user, filtering the physiological signal according to the environmental noise to obtain a target physiological signal;
and performing band-pass filtering on the target physiological signal to obtain the heart rate and the respiratory rate.
Further, the frequency determination module 22 is specifically configured to:
performing band-pass filtering on the target physiological signal to obtain a heartbeat signal and a respiration signal;
determining a heart rate according to the heartbeat signal;
the breathing frequency is determined from the breathing signal.
Further, the frequency determination module 22 is specifically configured to:
analyzing and fusing the heartbeat signals through principal components to obtain target heartbeat signals;
performing Hilbert-Huang transform after taking an absolute value of the target heartbeat signal;
and (3) carrying out low-pass filtering on the target heartbeat signal subjected to Hilbert-Huang transformation to obtain the heart rate within the preset time.
Further, the frequency determination module 22 is specifically configured to:
analyzing and fusing the respiratory signals through principal components to obtain target respiratory signals;
and determining the respiratory frequency within the preset time according to the target respiratory signal.
The signal processing device provided by the embodiment of the invention can execute the signal processing method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a vehicle according to a third embodiment of the present invention. FIG. 3 illustrates a block diagram of an exemplary vehicle 12 suitable for use in implementing embodiments of the present invention. The vehicle 12 shown in FIG. 3 is only one example and should not impose any limitations on the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 3, the vehicle 12 is embodied in the form of a general purpose computing device. The components of the vehicle 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The vehicle 12 typically includes a variety of computer system readable media. These media may be any available media that is accessible by the vehicle 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The vehicle 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The vehicle 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the vehicle 12, and/or with any devices (e.g., network card, modem, etc.) that enable the vehicle 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the vehicle 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the vehicle 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing a signal processing method provided by an embodiment of the present invention, the method including:
when a user wears the safety belt, user information is collected, wherein the user information comprises: physiological signals and location signals; and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
Example four
An embodiment of the present invention further provides a computer readable storage medium storing a computer program, which when executed by a processor is configured to execute a signal processing method applied to a vehicle, where the vehicle includes: safety belt, signal processing equipment, first triaxial acceleration sensor, wherein, the signal processing equipment includes: the signal processing device is arranged on a safety belt, when a user wears the safety belt, the signal processing device is located at the chest position of the user, the first triaxial acceleration sensor is arranged inside a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and the signal processing device is used for executing a signal processing method, and the method comprises the following steps:
when a user wears the safety belt, user information is collected, wherein the user information comprises: physiological signals and location signals;
and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A signal processing method applied to a vehicle, the vehicle comprising: safety belt, signal processing equipment, first triaxial acceleration sensor, wherein, the signal processing equipment includes: the signal processing device is arranged on a safety belt, when a user wears the safety belt, the signal processing device is located at the chest position of the user, the first triaxial acceleration sensor is arranged inside a vehicle, the distance between the first triaxial acceleration sensor and the user is larger than a preset distance, the first triaxial acceleration sensor and the signal processing device are connected through a wire harness, and the signal processing device is used for executing a signal processing method, and the method comprises the following steps:
when a user wears the safety belt, user information is collected, wherein the user information comprises: physiological signals and location signals;
and determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
2. The method of claim 1, further comprising:
acquiring a location signal of the user, wherein the location signal comprises: acceleration values in three directions;
if the acceleration value in any direction is larger than or equal to the acceleration threshold value, determining that the user is in a non-static state;
and if the acceleration values in the three directions are all smaller than the acceleration threshold value, determining that the user is in a static state.
3. The method of claim 2, wherein determining the heart rate and the breathing rate of the user from the physiological signal of the user and the location signal of the user comprises:
and if the user is in a static state, determining the heart rate and the respiratory rate of the user according to the physiological signals of the user.
4. The method of claim 1, wherein determining the heart rate and the respiratory rate of the user from the physiological signal of the user and the location signal of the user comprises:
when a user wears the safety belt, receiving environmental noise collected by the first triaxial acceleration sensor;
if the user is determined to be in a static state according to the position signal of the user, filtering the physiological signal according to the environmental noise to obtain a target physiological signal;
and performing band-pass filtering on the target physiological signal to obtain the heart rate and the respiratory rate.
5. The method of claim 4, wherein band-pass filtering the target physiological signal to derive a heart rate and a respiratory rate comprises:
performing band-pass filtering on the target physiological signal to obtain a heartbeat signal and a respiration signal;
determining a heart rate according to the heartbeat signal;
the breathing frequency is determined from the breathing signal.
6. The method of claim 5, wherein determining a heart rate from the heartbeat signals comprises:
analyzing and fusing the heartbeat signals through principal components to obtain target heartbeat signals;
performing Hilbert-Huang transform after taking an absolute value of the target heartbeat signal;
and (3) carrying out low-pass filtering on the target heartbeat signal subjected to Hilbert-Huang transformation to obtain the heart rate within the preset time.
7. The method of claim 5, wherein determining a respiratory rate from the respiratory signal comprises:
analyzing and fusing the respiratory signals through principal components to obtain target respiratory signals;
and determining the respiratory frequency within the preset time according to the target respiratory signal.
8. A signal processing apparatus provided in the signal processing device, the signal processing apparatus comprising:
the collecting module is used for collecting user information when a user wears the safety belt, wherein the user information comprises: physiological signals and location signals;
and the frequency determination module is used for determining the heart rate and the respiratory rate of the user according to the physiological signal of the user and the position signal of the user.
9. A vehicle, characterized in that the vehicle comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a signal processing method as claimed in any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the signal processing method according to any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113545765A (en) * | 2021-07-16 | 2021-10-26 | 厦门硅田系统工程有限公司 | Heart rate continuous output method of heart rate measuring device and heart rate measuring device |
| CN113693578A (en) * | 2021-08-26 | 2021-11-26 | 中国第一汽车股份有限公司 | Heart rate estimation method, device, equipment, system and storage medium |
| WO2023142380A1 (en) * | 2022-01-28 | 2023-08-03 | 中国第一汽车股份有限公司 | On-vehicle human body information obtaining method and apparatus, and vehicle |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004016191A1 (en) * | 2004-02-19 | 2005-09-08 | Daimlerchrysler Ag | Restraint system for motor vehicle has movement sensor, mechanically connected to restraining belt, and evaluating circuit designed to evaluate movement signal registered by movement sensor for heart and/or breathing activity |
| CN1798521A (en) * | 2003-09-02 | 2006-07-05 | 松下电器产业株式会社 | Biological sensor and support system using the same |
| CN102355848A (en) * | 2009-03-18 | 2012-02-15 | 爱信精机株式会社 | Biological parameter monitoring method, computer program, and biological parameter monitoring device |
| US20120245491A1 (en) * | 2011-03-25 | 2012-09-27 | Novel Ergonomics LLC | Posture feedback system and method, detachable traction system, and traction safety belt combination |
| US20150265200A1 (en) * | 2014-03-19 | 2015-09-24 | Takata AG | Safety belt arrangements and methods for determining information with respect to the cardiac and/or respiratory activity of a user of a safety belt |
| WO2015174963A1 (en) * | 2014-05-13 | 2015-11-19 | American Vehicular Sciences, LLC | Driver health and fatigue monitoring system and method |
| US20150374265A1 (en) * | 2014-06-30 | 2015-12-31 | Kabushiki Kaisha Toshiba | Respiratory State Estimation Device, Method, And Storage Medium |
| US20160036964A1 (en) * | 2014-07-29 | 2016-02-04 | Verizon Patent And Licensing Inc. | Determining that a user is in a vehicle or driving a vehicle based on sensor data gathered by a user device |
| US20170236395A1 (en) * | 2016-02-11 | 2017-08-17 | Tk Holdings Inc. | Seatbelt and child seat anchor based occupancy detection system |
| CN107249939A (en) * | 2015-02-12 | 2017-10-13 | 布鲁必普公司 | Sensor device and for the equipment for the safety belt harness operational circumstances for controlling safety seat |
| CN108836299A (en) * | 2018-04-23 | 2018-11-20 | 深圳市友宏科技有限公司 | A kind of BCG heart rate extracting method, storage medium and device |
| US20180344170A1 (en) * | 2017-05-30 | 2018-12-06 | Qualcomm Incorporated | Heart rate determination in power-constrained environment |
| CN109106336A (en) * | 2017-06-23 | 2019-01-01 | 武汉云球科技有限公司 | A kind of physiologic parameter monitoring device and method of environment resistant interference |
| CN109843174A (en) * | 2017-01-30 | 2019-06-04 | 奥迪股份公司 | Method for running motor vehicle |
| WO2019122414A1 (en) * | 2017-12-22 | 2019-06-27 | Resmed Sensor Technologies Limited | Apparatus, system, and method for physiological sensing in vehicles |
| CN110115583A (en) * | 2018-02-07 | 2019-08-13 | 普天信息技术有限公司 | The method and apparatus of monitoring of respiration |
| DE102018103396A1 (en) * | 2018-02-15 | 2019-08-22 | Ipetronik Gmbh & Co. Kg | Method for detecting the heart rate for a vehicle or vehicle occupants |
| US20190299999A1 (en) * | 2018-03-27 | 2019-10-03 | Hong Kong Productivity Council (HKPC) | Drowsiness Detection and Intervention System and Method |
| CN110730630A (en) * | 2019-09-10 | 2020-01-24 | 深圳市汇顶科技股份有限公司 | Heart rate detection method and device, chip, electronic device and storage medium |
| CN111568433A (en) * | 2020-05-18 | 2020-08-25 | 复旦大学附属中山医院 | Physiological and behavior monitoring method based on three-axis acceleration sensor |
-
2020
- 2020-09-23 CN CN202011011033.8A patent/CN112137601B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1798521A (en) * | 2003-09-02 | 2006-07-05 | 松下电器产业株式会社 | Biological sensor and support system using the same |
| DE102004016191A1 (en) * | 2004-02-19 | 2005-09-08 | Daimlerchrysler Ag | Restraint system for motor vehicle has movement sensor, mechanically connected to restraining belt, and evaluating circuit designed to evaluate movement signal registered by movement sensor for heart and/or breathing activity |
| CN102355848A (en) * | 2009-03-18 | 2012-02-15 | 爱信精机株式会社 | Biological parameter monitoring method, computer program, and biological parameter monitoring device |
| US20120245491A1 (en) * | 2011-03-25 | 2012-09-27 | Novel Ergonomics LLC | Posture feedback system and method, detachable traction system, and traction safety belt combination |
| US20150265200A1 (en) * | 2014-03-19 | 2015-09-24 | Takata AG | Safety belt arrangements and methods for determining information with respect to the cardiac and/or respiratory activity of a user of a safety belt |
| WO2015174963A1 (en) * | 2014-05-13 | 2015-11-19 | American Vehicular Sciences, LLC | Driver health and fatigue monitoring system and method |
| US20150374265A1 (en) * | 2014-06-30 | 2015-12-31 | Kabushiki Kaisha Toshiba | Respiratory State Estimation Device, Method, And Storage Medium |
| US20160036964A1 (en) * | 2014-07-29 | 2016-02-04 | Verizon Patent And Licensing Inc. | Determining that a user is in a vehicle or driving a vehicle based on sensor data gathered by a user device |
| CN107249939A (en) * | 2015-02-12 | 2017-10-13 | 布鲁必普公司 | Sensor device and for the equipment for the safety belt harness operational circumstances for controlling safety seat |
| US20170236395A1 (en) * | 2016-02-11 | 2017-08-17 | Tk Holdings Inc. | Seatbelt and child seat anchor based occupancy detection system |
| CN109843174A (en) * | 2017-01-30 | 2019-06-04 | 奥迪股份公司 | Method for running motor vehicle |
| US20180344170A1 (en) * | 2017-05-30 | 2018-12-06 | Qualcomm Incorporated | Heart rate determination in power-constrained environment |
| CN109106336A (en) * | 2017-06-23 | 2019-01-01 | 武汉云球科技有限公司 | A kind of physiologic parameter monitoring device and method of environment resistant interference |
| CN111655135A (en) * | 2017-12-22 | 2020-09-11 | 瑞思迈传感器技术有限公司 | Apparatus, system, and method for physiological sensing in a vehicle |
| WO2019122414A1 (en) * | 2017-12-22 | 2019-06-27 | Resmed Sensor Technologies Limited | Apparatus, system, and method for physiological sensing in vehicles |
| CN110115583A (en) * | 2018-02-07 | 2019-08-13 | 普天信息技术有限公司 | The method and apparatus of monitoring of respiration |
| DE102018103396A1 (en) * | 2018-02-15 | 2019-08-22 | Ipetronik Gmbh & Co. Kg | Method for detecting the heart rate for a vehicle or vehicle occupants |
| US20190299999A1 (en) * | 2018-03-27 | 2019-10-03 | Hong Kong Productivity Council (HKPC) | Drowsiness Detection and Intervention System and Method |
| CN108836299A (en) * | 2018-04-23 | 2018-11-20 | 深圳市友宏科技有限公司 | A kind of BCG heart rate extracting method, storage medium and device |
| CN110730630A (en) * | 2019-09-10 | 2020-01-24 | 深圳市汇顶科技股份有限公司 | Heart rate detection method and device, chip, electronic device and storage medium |
| CN111568433A (en) * | 2020-05-18 | 2020-08-25 | 复旦大学附属中山医院 | Physiological and behavior monitoring method based on three-axis acceleration sensor |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113545765A (en) * | 2021-07-16 | 2021-10-26 | 厦门硅田系统工程有限公司 | Heart rate continuous output method of heart rate measuring device and heart rate measuring device |
| CN113545765B (en) * | 2021-07-16 | 2024-04-09 | 厦门硅田系统工程有限公司 | Continuous heart rate output method of heart rate measuring device and heart rate measuring device |
| CN113693578A (en) * | 2021-08-26 | 2021-11-26 | 中国第一汽车股份有限公司 | Heart rate estimation method, device, equipment, system and storage medium |
| WO2023142380A1 (en) * | 2022-01-28 | 2023-08-03 | 中国第一汽车股份有限公司 | On-vehicle human body information obtaining method and apparatus, and vehicle |
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|---|---|
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